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This paper proposes attentive statistics pooling for deep speaker embedding in text-independent speaker verification.
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Y. Lei, N. Scheffer, L. Ferrer, and M. McLaren, “A novel scheme for speaker recognition using a phonetically-aware deep neural network,” in
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H. Zheng, S. Zhang, and W. Liu, “Exploring robustness of DNN/RNN for extracting speaker Baum-Welch statistics in mismatched conditions,” in
2015
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2015
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Y. Tian, M. Cai, L. He, W.-Q. Zhang, and J. Liu, “Improving deep neural networks based speaker verification using unlabeled data.” in
2016
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K. Kinoshita, M. Delcroix, S. Gannot, E. A. Habets, R. Haeb-Umbach, W. Kellermann, V. Leutnant, R. Maas, T. Nakatani, B. Raj
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A. Nagrani, J. S. Chung, and A. Zisserman, “VoxCeleb: A large-scale speaker identification dataset,” in
2017
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D. Snyder, D. Garcia-Romero, D. Povey, and S. Khudanpur, “Deep neural network embeddings for text-independent speaker verification,” in
2017
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G. Bhattacharya, J. Alam, and P. Kenny, “Deep speaker embeddings for short-duration speaker verification,” in
2017
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G. Heigold, I. Moreno, S. Bengio, and N. Shazeer, “End-to-end text-dependent speaker verification,” in
2016
Cited alongside, same era.
G. Bhattacharya, J. Alam, T. Stafylakis, and P. Kenny, “Deep neural network based text-dependent speaker recognition: Preliminary results,” in
2016
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2017
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D. Snyder, D. Garcia-Romero, G. Sell, D. Povey, and S. Khudanpur, “X-vectors: Robust DNN embeddings for speaker recognition,” in
2018
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